KR20200054366A - Children oral health care and education system - Google Patents

Abstract

The present invention relates to a child oral health management and education system capable of promoting oral management and cavity prevention for children by photographing and uploading an actual tooth image of a child and providing an oral condition report, which is formed by analyzing a tooth condition through deep learning when medical examination paper is filled, and also, enabling the establishment of dentist visit education or anticavity toothbrushing habit guidelines by providing an oral management education animation. The child oral health management and education system includes: a tooth image acquisition means acquiring a tooth image by photographing the anterior tooth part of a child; a user terminal obtaining the tooth image through communication with the tooth image acquisition means, providing personal information and medical examination data of the child and the obtained tooth image, and requesting an oral health condition report; and an oral health management server creating and transmitting an oral health condition report to the user terminal by analyzing the tooth image provided from the user terminal through deep learning, and prompting a toothbrushing instruction and a dentist visit instruction by providing a toothbrushing instruction animation.

Description

Children's oral health care and education system

The present invention relates to an oral health care and education system for children, and more specifically, by photographing and uploading an actual tooth image of a child, and preparing a questionnaire, analyzes the state of the teeth through deep learning to provide an oral condition report. , Oral health care and education system for children to promote dental care and prevention of tooth decay and to provide dental care education animation to establish dental visit training or tooth decay prevention brushing habits.

Oral disease can obtain a high preventive effect through proper preventive treatment and steady management, but many oral disease patients are still aware of oral prevention, such as if they do not have problems with oral health, they are not diagnosed or referred to a doctor. This is insufficient.

In addition, accurate measurement and diagnosis results and objective numerical information are required to measure the patient's current oral condition, rather than the subjective view of a dentist or dental hygienist, but there is no system for objectively calculating the oral health. .

The two major diseases of the oral cavity are tooth decay and periodontal disease. In particular, the proportion of dental caries (cavities) in children was 36%, according to the Ministry of Health and Welfare and the Health Insurance Review and Assessment Service (2017), with 2 out of 5 suffering from dental caries, and the average number of caries in Korea was ranked second among OECD countries. Tooth care is poor enough.

Accordingly, various methods for promoting oral health and preventing oral diseases have been researched and proposed based on the diagnosis of the condition of oral diseases in children in advance.

For example, App People (tooth counselor), which is proposed as a dental care service, provides regular dental visits and dental checkup records as a mobile application for the disabled, which provides oral care schedules based on the dental visit cycle.

In addition, the Mammoth Tooth mobile game produced by the Korea Health Association provides various information about oral health in the form of a functional game, and provides mini games to induce natural learning about oral health knowledge through games. It provides games and animations using augmented reality for infants and children.

As another method, the tooth classification system using deep learning proposed by Incheon University (Professor Kim Do-geon) applied deep learning technology to the images received by the camera and conducted a study to recognize three types of tooth decay / gold crown / amalgam. YOLO algorithm was applied to implement the judgment considering tooth state recognition and tooth position at the same time using GoogLeNet-based model. As a result of the verification, it showed 81% of cavities, 76% of amalgam, and 71% of gold crowns, suggesting the possibility of improving the recognition rate through additional data learning.

In addition, based on the above research, conventionally proposed techniques are disclosed in <Patent Document 1> to <Patent Document 3>.

The prior art disclosed in <Patent Document 1> receives and stores user condition information including information on at least one of a user's gender, age, periodontal disease and target setting information from a user terminal, and stores it from a medical record information providing server Information on the oral care products classified by categories including information on at least one of the types, prices, and uses of the oral care products to be sold from the affiliated oral care products merchants, receiving and storing treatment information at the user's affiliated medical institution. And inputting and storing information and providing information of a specific oral care article included in a specific category corresponding to user condition information and treatment information among a plurality of oral care article information to the user terminal periodically or aperiodically. Through this configuration, a user-specific section management service is provided.

In addition, the prior art disclosed in <Patent Document 2> examines the oral condition of the patient, and the oral examination index calculation reference data including the oral examination data of the patient, the oral examination office providing the living area and age, from the oral examination office Analyzing the big data consisting of the received oral examination index calculation criteria data, judges the impact of the oral examination index calculation criteria data on the oral health according to the patient's residence area and age at the present time, and determines the oral examination index calculation criteria according to the judgment result It includes a cloud server to actualize the oral examination index calculation reference data by weighting the data, and an oral examination related institution receiving the actualized oral examination index calculation reference data from the cloud server. Through this configuration, oral health is managed using a deep learning algorithm that realizes the criteria for calculating oral health indices through big data analysis.

In addition, the prior art disclosed in <Patent Document 3> is an oral medical DB that collects and stores the user's personal information, the user's oral hygiene behavior data and the oral examination data, and the oral examination data generated by the user visiting a specialized medical institution, Professional oral DB that stores professional oral medical information including oral disease risk assessment criteria, and the oral cavity by evaluating user's oral disease risk using an algorithm that integrates and analyzes data of the oral medical DB and data of the professional oral DB Provide personalized service according to the disease risk assessment value.

Republic of Korea Patent Publication 10-2017-0050467 (released on May 11, 2017) (method to provide customized oral care service and server for providing oral care service) Republic of Korea Registered Patent 10-1868979 (Registration on June 12, 2018) (Oral health management system and method using deep learning algorithm) Republic of Korea Registered Patent 10-1788030 (Registration on October 13, 2017) (Oral disease risk diagnosis and oral management system and method)

However, the conventional oral disease management systems as described above are methods of generating oral disease management information by analyzing the user's personal information, oral data and questionnaire data, and oral examination data generated through a specialized medical institution. Since it is not a method of analyzing the oral image of, it has a disadvantage in that it lacks accuracy in the analysis of oral diseases.

In addition, the conventional technologies have disadvantages that are impossible to educate children who are afraid of dental visits, a dangerous situation that may occur if they do not visit the dentist, or to induce dental visits and treatment.

Therefore, the present invention is proposed to solve various problems occurring in the prior art as described above, and photographing and uploading an actual tooth image of a child, and writing a questionnaire, analyzes the dental condition through deep learning to analyze the oral condition The goal is to provide oral health care and education systems for children to provide dental reports and prevent dental caries by providing reports, and to provide dental care education animations to establish dental visit education or tooth decay prevention brushing habits. .

Another object of the present invention is to enable real-time and periodic management of dental caries through a medical service platform, and automatically reserve a hospital at the user's request to improve convenience for children's oral health care and education systems. Is to provide

In order to achieve the above object, the oral health care and education system for children according to the present invention comprises: a tooth image acquiring means for acquiring a tooth image by photographing a tooth anterior portion of a child; A user terminal for acquiring a tooth image through communication with the tooth image acquisition means, providing the acquired tooth image information, children's personal information and questionnaire data, and requesting an oral health status report; Oral health management server that analyzes the tooth image provided from the user terminal by deep learning to generate an oral health status report and transmits it to the user terminal, and provides animation for brushing education to induce brushing education and dental visit education It includes.

In the above, the tooth image acquiring means includes a body and a half mirror formed at one end of the body; A camera built into the half mirror to photograph the anterior teeth; A photographing button for photographing the camera; It is characterized in that it comprises a communication module that is embedded in the body and transmits the tooth image photographed by the camera to the user terminal through communication.

In the above, the oral health management server includes information analysis means for learning the user's car image through deep learning and extracting analysis data; It characterized in that it comprises a report generating means for generating an oral health status report by analyzing the analysis data and paperweight information extracted from the information analysis means based on the big data, and transmits the generated oral health status report to the user terminal. .

In addition, the oral health care server provides a brushing education means for providing brushing education by providing animations for brushing habits and dental visits to the user terminal; When the hospital reservation is requested through the user terminal, and further comprises a hospital reservation means for automatically searching for the hospital corresponding to the symptoms of the oral health status report, making a reservation, and transmitting hospital reservation information to the user terminal It is characterized by.

The information analysis means in the image learning unit for learning a tooth image; An image analysis unit for analyzing the results learned by the image learning unit; And an image diagnosis unit extracting tooth image analysis data by analyzing the tooth image through deep learning based on the image analysis result.

In the report generating means, the big data analysis unit analyzes the tooth image analysis data provided by the information analysis means based on big data; A paperweight classification and providing unit that provides paperweight data to the user terminal and classifies the paperweight information provided from the user terminal; It characterized in that it comprises a report calculation and providing unit for calculating the oral health status report, and providing the calculated oral health status report based on the analysis results of the big data analysis unit and the classified information classification information of the questionnaire classification and provision unit.

In the above, the brushing education means includes an animation providing unit that provides animation for brushing education; It characterized in that it comprises a water fern sound source providing unit for providing a sound source for water brushing education.

In the above, the hospital reservation means searches and recommends the shortest distance hospital from the user's location based on the hospital name entered by the user or the location information of the self-recommended hospital and the hospital around the user, and links the hospital with the hospital server according to the user's hospital selection. To automatically reserve or to evaluate the hospital using the customer's evaluation and self-hospital evaluation algorithm, determine the ranking, search for the reservation hospital based on the ranking, and link the hospital server according to the user's hospital selection to reserve the hospital It is characterized by.

According to the present invention, when an actual tooth image of a child is photographed and uploaded, and a questionnaire is prepared, an oral health condition report is provided by analyzing a tooth condition through deep learning, thereby promoting oral treatment and prevention of tooth decay in children. There is.

In addition, according to the present invention, there is an advantage of providing an oral care education animation to help establish a dental visit education or tooth decay prevention brushing habit.

1 is an overall configuration of the oral health care and education system for children according to the present invention,
2 is a block diagram showing an embodiment of the information analysis means of FIG. 1;
3 is an exemplary configuration diagram of the report generating means of FIG. 1;
4 is a block diagram of an embodiment of the fern education means of FIG. 1,
5 is an exemplary view of a medical service platform applied to the present invention,
Figure 6 is an exemplary configuration of teeth classification in the oral cavity in the present invention,
7 is an exemplary diagram for diagnosing a tooth image using deep learning in the present invention,
8A and 8B are exemplary views of oral health status results of diagnosing difference images in the present invention;
Figure 9 is an example of a questionnaire diagnosis in the present invention,
10 is an exemplary diagram of a CNN model that is an image diagnosis system applied to the present invention.

Hereinafter, the oral health care and education system for children according to a preferred embodiment of the present invention will be described in detail with reference to the accompanying drawings.

The present invention was carried out as part of a broadcasting and communication research and development project (strengthening the competitiveness of the ICT convergence service) of the Ministry of Science and ICT and the Information and Communication Technology Promotion Center (2018-0-01592, Convergence service for oral health management education based on the medical service platform). This work was supported by the ICT R & D program of MSIT / IITP [2018-0-01592, Oral Health Management Education Convergence Service Based on Medical Service Platform].

1 is a schematic configuration diagram of a child's oral health care and education system according to a preferred embodiment of the present invention.

The oral health care and education system for children according to the present invention acquires a tooth image through communication with the tooth image acquiring means 10 and the tooth image acquiring means 10 for acquiring a tooth image by photographing a tooth anterior portion of a child, Oral health status by deep learning the tooth image provided from the user terminal 100 and the user terminal 100 that provides the acquired tooth image information, personal information and paperweight data of the child, and requests the oral health status report It includes an oral health management server 200 that generates a report and transmits it to the user terminal 100, and provides animation for brushing education to induce brushing education and dental visit education.

The tooth image acquiring means 10 includes a body 1, a half mirror 2 formed at one end of the body 1; Built in the inside of the half mirror (2), the camera (5) for photographing the anterior teeth, the shooting button (3) for shooting the camera (6), the body (1) is embedded in the camera (5) It includes a communication module (4) for transmitting the tooth image taken by the communication to the user terminal (100).

The user terminal 100 is a terminal used by a user, and may be implemented with a mobile device such as a smart phone and a smart pad, a personal computer with a Internet connection, and a notebook computer. In the present invention, it is assumed that a smart phone is used as an embodiment. .

In addition, the oral health management server 200 is an information analysis means 210 for extracting analysis data by learning a user's tooth image by deep learning, and the analysis data and paperweight information extracted by the information analysis means 210 are big data. Based on the analysis to generate an oral health status report, report generating means 220 for transmitting the generated oral health status report to the user terminal 100, the user terminal 100 for brushing habits and dental visits When a hospital reservation is requested through the brushing education means 230 and the user terminal 100 for providing brushing education by providing an animation, the hospital corresponding to the symptoms of the oral health condition report is searched for and the reservation is automatically performed. And hospital reservation means 240 for transmitting hospital reservation information to the user terminal 100.

In addition, the information analysis means 210, as shown in Figure 2, an image learning unit 211 for learning a tooth image, an image analysis unit 212 for analyzing the results learned by the image learning unit 211 And an image diagnosis unit 213 that extracts tooth image analysis data by analyzing the tooth image through deep learning based on the image analysis result.

In addition, the report generating means 22, as shown in Figure 3, the big data analysis unit 221 to analyze the tooth image analysis data provided by the information analysis means 210 based on the big data, the user terminal Provides paperweight data to the (100), the paperweight classification and provision unit 222 to classify the paperweight information provided from the user terminal 100, the analysis results of the big data analysis unit 221 and the paperweight classification and provision unit Includes a report calculation and providing unit 223 for calculating the oral health status report based on the questionnaire information classification information of (222), and providing the calculated oral health status report.

In addition, as shown in FIG. 4, the brushing education means 230 provides an animation providing unit 231 that provides animation for brushing education, and a water brushing sound source providing unit 232 that provides a sound source for water brushing education. Includes.

The hospital reservation means 240 searches for and recommends the shortest distance hospital from the user's location based on the hospital name entered by the user or the location information of the self-recommended hospital and the hospital around the user, and works with the hospital server according to the user's hospital selection Automatically reserve hospitals, evaluate hospitals using consumer evaluation and self-hospital evaluation algorithms, determine rankings, search for reservation hospitals based on the rankings, and schedule hospitals in conjunction with hospital servers according to user's hospital selection do.

The operation of the child's oral health care and education system according to the present invention configured as described above will be described in detail as follows.

First, the user downloads the oral health application for checking and managing the dental health status of the child (child, child) from the oral health management server 200 and stores it in the user terminal 100.

Subsequently, in order to check the state of the oral health of the child, the oral health application is executed, and self-diagnosis is performed while selecting symptoms based on the questionnaire data included in the oral health application. Here, the interview data is developed in the form of a digital process based on medical and treatment data and know-how accumulated by medical staff for a long time in a dental general hospital, unlike a general dental interview.

Next, to check the oral health status of the child in real time, the user photographs the tooth anterior portion of the child using the tooth image acquisition means 10, obtains a tooth image, and communicates with the user terminal 100 through the communication ).

For example, the tooth image acquiring means 10 is formed with a half-mirror 2 in the shape of a reflector on one end of the body 1, while looking at the part of the tooth to be photographed through the half-mirror 2, a photographing button for photographing Press (3). Here, a light-emitting diode (LED) is built in the inside of the half mirror 2 to emit light when the operation button 7 is operated, if necessary, to provide light. In addition, when the photographing button 3 is pressed, a camera 5 built in the half mirror 2 operates to photograph a tooth portion. The captured tooth image is converted into a communication data format set in the communication module 4 built in the body 1 and transmitted to the user terminal 100. Here, the tooth image acquiring means 10 and the user terminal 100 can transmit and receive data in various communication methods, and in the present invention, it is assumed that for convenience, mutual data is transmitted and received using Bluetooth, which is a short-range wireless communication method.

The user terminal 100 receives the tooth image of the child transmitted from the tooth image acquiring means 10 and temporarily stores it in the internal memory, and obtains the acquired tooth image image, questionnaire data information, and personal information of the child from the oral health. The application is transmitted to the oral health management server 200, and an oral health status report is requested.

When the oral health management server 200 receives the tooth image transmitted through the user terminal 100 and personal information and questionnaire data, the information analysis means 210 based on the medical service platform as shown in FIG. Running) to extract the tooth analysis data by analyzing the tooth image, and the report generation means 220 finally generates an oral health status report through big data analysis based on the tooth analysis data and questionnaire information.

For example, the image learning unit 211 of the information analysis means 210 corrects the color of the transmitted tooth image. Since the tooth image is directly photographed and transmitted by the individual, there is no color standard for the actual image of the tooth, since the shooting environment is different. Therefore, the color is automatically corrected so that all pictures are the same as the reference point by capturing the reference point and then stored. Subsequently, the color-corrected tooth image is learned, and the image analysis unit 212 analyzes the results learned by the image learning unit 211. Next, the image diagnosis unit 213 extracts the tooth analysis data by analyzing the tooth image through deep learning based on the image analysis result. Here, the tooth analysis data means dictionary data for analyzing the tooth condition using the big data related to the tooth.

That is, the image learning checks the part of the tooth image suggested by the user, confirms the location of the tooth image, and performs image learning. Here, the oral cavity is divided into 12 parts on the basis of narrow and lingual surfaces as shown in FIG. 6. Next, the tooth image is analyzed based on the learning result.

When the image analysis is completed, the image is diagnosed through deep learning, and the result of the diagnosis is extracted with tooth analysis data for tooth image analysis.

Deep learning, as shown in FIG. 7, advances learning through data derived from professional medical personnel through clinical trials, rather than the existing data-based learning. The tooth image taken by the patient at 12 sites is divided into 8 sites, and this is performed more accurately through neural network analysis through CNN.

As shown in FIG. 10, when a tooth photo is input to the CNN (Convolutional Neural Network) algorithm, after passing through a number of Convolution Layer, Pooling Layer, Convolution Layer, and Pooling Layer, the final diagnosis result through the Fully-Connected Layer layer ( It is an algorithm that derives tooth analysis data). Pathon libraries such as Tensorflow and Keras are used, and it is desirable to set the size, number, and travel distance (Strides) of the Convolution / Pooling filter suitable for the tooth area and size.

In FIG. 7, the left side derives the diagnosis result (whether risk and index as tooth analysis data) by learning the entire tooth image with the CNN algorithm, and the right side divides the tooth image into 8 parts and learns with the CNN algorithm individually. This is an example of deriving results (risk and index as tooth analysis data).

8A and 8B are diagnostic result data obtained by analyzing a tooth image using the CNN algorithm (probability data for each label).

When the tooth analysis data is derived from the tooth image through the CNN algorithm, the report generation means 220 generates an oral health status report and transmits it to the user terminal 100 (S50).

For example, the big data analysis unit 221 of the report generating means 220 extracts the tooth state information by using the big data which is diagnosis and treatment data received from medical staff at the existing dental general hospital.

In addition, the paperweight classification and provision unit 222 classifies the fed forward neural network (FFNN) algorithm for the paperweight information provided by the user. Here, in the FFNN algorithm, as shown in FIG. 9, when a questionnaire response (user information) is input, a diagnosis result is output. We designed FFNN suitable for I / O structure using Python-based libraries such as Tensorflow and Keras. For the activation function, loss function, optimization method, parallel computing structure, and overfitting problem, the recently studied and analyzed FFNN algorithm is used. The input data (question response) is pre-processed, and the pre-processed data is divided into training data and verification data. Subsequently, the learning data is learned through learning the neural network, and the verification data and the learning result data are learned into a newly designed neural network through verification and supplementation procedures. In addition, when verification and supplementation are completed, the final model is output as a questionnaire diagnosis result.

Subsequently, the report calculation and provision unit 223 generates an oral health status report by combining the dental status information analyzed by the big data analysis unit 221 with the questionnaire diagnosis results obtained from the questionnaire classification and provision unit 222. do. The generated oral health status report is transmitted to the user terminal 100.

Here, the oral health status report is accompanied by professional monitoring services for everyday dental care. The oral health status report is not a medical activity performed remotely or digitally, but is intended for prevention. That is, it simply provides the user's dental health status in a report format. When the user sees the provided oral health status report and determines that a hospital visit is necessary, the user requests the hospital reservation through the user terminal 100 to the oral health management server 200. As the oral health status data accumulates, the user may generate a tooth-related history, and track the child's oral condition (eg, tooth decay) based on the generated report. When a hospital reservation is requested as required, the hospital reservation means 240 of the oral health management server 200 automatically reserves the hospital and transmits the hospital reservation information to the user terminal 100.

Here, the hospital search and reservation is one or two of the processes such as finding and booking a hospital that can be quickly booked, finding and booking a hospital at a close distance based on the user's location, finding and booking a hospital by its own ranking system, and finding and booking a hospital by name search Combining the above, the optimal hospital is searched and reservations are made.

That is, the reservation hospital is searched based on the location information, the distance information between the user and the hospital, and the available hours of treatment, and the hospital is reserved in conjunction with the hospital server according to the user's hospital selection.

For example, it searches for and recommends the shortest distance hospital from the user's location based on the hospital name entered by the user or the location information of the self-recommended hospital and the hospital around the user, and automatically reserves the hospital in conjunction with the hospital server according to the user's hospital selection .

Alternatively, the hospital can be ranked by evaluating the hospital using the consumer's evaluation and the hospital's own hospital evaluation algorithm, searching for a reservation hospital based on the ranking, and linking with a hospital server according to the user's hospital selection. have.

The hospital reservation method using the ranking system is evaluated using the consumer's evaluation and its own hospital evaluation algorithm, and then, based on the evaluation result, the hospital information for which the ranking is determined is extracted from the medical information database. Because of the nature of the ranking system, the desire of consumers (users) to receive higher medical services is reflected, and it is desirable to include more "hospitals now available" to give users more options.

On the other hand, as another feature of the present invention, it is possible to establish a correct brushing habit of a child, and to educate a small child to make a dental visit and treatment by naturally training a dangerous situation that may occur if the child does not visit the dentist.

For example, if brushing education is selected through the oral health application, animation for establishing a correct brushing habit is provided by the brushing education means 230 of the oral health management server 200, and a sound source for water brushing is provided. It encourages you to visit the dentist through the game.

The animation providing unit 231 of the brushing education means 230 transmits a pre-made Chica Song (about 2 minutes) for establishing a correct brushing habit to the user terminal 100 in an animation form. It is desirable to provide an animation with a sound source to induce young children to brush their teeth while following it. When the child completes brushing, the water brushing sound source providing unit 232 provides a sound source (aka, origsong) for water brushing, thereby inducing the child to brush the water. Through this educational method of animation and water brushing, it is possible to establish a correct brushing habit.

It is also possible to educate your child to visit the dentist for treatment. For example, an image of one's own tooth is inserted into the animation, and the mood is expressed according to the diagnosed oral health condition, so that the child recognizes his or her oral condition. You can also emphasize the reality by using your child's actual tooth image. Here, the mood provides a bright and bright screen animation when the oral health condition is good, and a gray and dark screen animation when the oral health condition requires a dental visit. It provides animations to visit the dentist and treatments on a dull and dark screen. If you visit the dentist in the animation and treat it, the animation will turn into a bright and bright screen animation to encourage your child to visit the dentist. Through this animation education, children can be encouraged to visit the dentist.

In addition, as another feature of the present invention, it is also possible to transmit the child's oral health status report to an insurance company so that it can be directly used for related insurance. Insurance companies can develop insurance products using oral health status reports.

According to the present invention, by simply uploading and uploading the image of the child's teeth, filling out a questionnaire, and analyzing the condition of the teeth through deep learning to provide the oral health status report to the user in real time, the user It is possible to easily manage the oral cavity of children and children, and to prevent the occurrence of decay or deterioration of decay in advance.

The invention made by the present inventors has been described in detail according to the above-described embodiments, but the present invention is not limited to the above-described embodiments and can be changed in various ways without departing from the gist thereof. It is obvious to those who have it.

10: means for obtaining tooth images
100: user terminal
200: oral health management server
210: information analysis means
211: image learning department
212: image analysis unit
213: image diagnosis unit
220: report generation means
221: big data analysis department
222: Paperweight classification and provision department
223: report calculation and provision
230: brushing education
231: animation provider
232; Water brush source
240: hospital reservation method

Claims (8)

As a system that manages oral health of children (including children) and educate them for section health management,
A tooth image acquiring means for acquiring a tooth image by photographing a tooth anterior portion of a child;
A user terminal for acquiring a tooth image through communication with the tooth image acquisition means, providing the acquired tooth image information, children's personal information and questionnaire data, and requesting an oral health status report; And
An oral health management server that analyzes the tooth image provided from the user terminal by deep learning to generate an oral health status report and transmits it to the user terminal, and provides animation for brushing education to induce brushing education and dental visit education Children's oral health care and education system comprising a.
In claim 1, The tooth image acquisition means is a body, a half mirror formed on one end of the body; A camera built into the half mirror to photograph the anterior teeth; A photographing button for photographing the camera; Children's oral health management and education system, characterized in that it includes a communication module that is embedded in the body and transmits a tooth image taken by the camera to the user terminal through communication.
The method according to claim 1, The oral health management server is an information analysis means for extracting the analysis data by learning the user's car image by deep learning; It characterized in that it comprises a report generating means for generating an oral health status report by analyzing the analysis data and paperweight information extracted from the information analysis means based on the big data, and transmits the generated oral health status report to the user terminal Children's oral health care and education system.
The method according to claim 3, wherein the oral health care server is provided with an animation for the dental habits and dental visits to the user terminal brushing education means for brushing education; When the hospital reservation is requested through the user terminal, and further comprises a hospital reservation means for automatically searching for the hospital corresponding to the symptoms of the oral health status report, making a reservation, and transmitting the hospital reservation information to the user terminal Characterized by children's oral health management and education system.
In claim 3, The information analysis means is an image learning unit for learning a tooth image; An image analysis unit for analyzing the results learned by the image learning unit; Children's oral health management and education system, characterized in that it comprises an image diagnosis unit to extract the tooth image analysis data by analyzing the tooth image through deep learning based on the image analysis results.
The method according to claim 3, The report generation means Big data analysis unit for analyzing the tooth image analysis data provided by the information analysis means based on big data; A paperweight classification and providing unit that provides paperweight data to the user terminal and classifies the paperweight information provided from the user terminal; A child characterized in that it comprises a report calculation and provision unit for calculating an oral health status report based on the analysis result of the big data analysis unit and the questionnaire information classification information of the questionnaire classification and provision unit, and providing the calculated oral health status report. Oral health management and education system.
In claim 4, The brushing education means animation providing unit for providing an animation for brushing education; Oral health care and education system for children characterized in that it comprises a water fern sound source providing unit for providing a sound source for water brushing education.
The method according to claim 4, The hospital reservation means searches for and recommends the shortest distance hospital from the user's location based on the hospital name entered by the user or self-recommended hospital and hospital location information around the user, and works with the hospital server according to the user's hospital selection To automatically book a hospital, or evaluate the hospital using the customer's evaluation and self-hospital evaluation algorithm, determine the ranking, search for a reserved hospital based on the ranking, and link the hospital with the hospital server according to the user's hospital selection Children's oral health care and education system, characterized by making a reservation.

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